Progressive loss of expressive language in a journalist: What news for dementia?

A 77-year-old man with 8 year progressive language deterioration in the face of grossly intact memory was followed. No acute or chronic physiological or psychological event was associated with symptom onset. CT revealed small left basal ganglia infarct. Mild atrophy, no lacunar infarcts, mild diffuse periventricular changes registered on MRI. Gait normal but slow. Speech hesitant and sparse. Affect euthymic; neurobehavioral disturbance absent. MMSE 26/30; clock incorrect, concrete. Neuropsychological testing revealed simple attention intact; complex attention, processing speed impaired. Visuospatial copying and delayed recall of copy average with some perseveration. Apraxia absent. Recall mildly impaired. Mild deficits in planning, organization apparent. Patient severely aphasic, dysarthric without paraphasias. Repetition of automatic speech, recitation moderately impaired; prosody intact. Understanding of written language, nonverbal communication abilities, intact. Frontal release signs developed over last 12 months. Repeated cognitive testing revealed mild deterioration across all domains with significant further decrease in expressive, receptive language. Neurobehavioral changes remain absent to date; he remains interested, engaged and independent in basic ADLs. Speech completely deteriorated; gait and movements appreciably slowed. Although signs of frontal/executive dysfunction present, lack of behavioral abnormalities, psychiatric disturbance, personality change argue against focal or progressive frontal impairment or dementia. Relative intactness of memory and comprehension argue against Alzheimer’s disease. Lack of findings on neuroimaging argue against CVA or tumor. It is possible that the small basal ganglia infarct has resulted in a mild lateral prefrontal syndrome. However, the absence of depression as well as the relatively circumscribed language problem suggests otherwise. The progressive, severe nature of language impairments, with relatively minor impairments in attention and memory, argues for a possible diagnosis of primary progressive aphasia.

Assessment of motor speech disorders online: A pilot study

We have conducted a preliminary validation of an Internet-based telehealth application for assessing motor speech disorders in adults with acquired neurological impairment. The videoconferencing module used NetMeeting software to provide realtime videoconferencing through a 128 kbit/s Internet link, as well as the transfer of store-and-forward video and audio data from the participant to the clinician. Ten participants with dysarthria following acquired brain injury were included in the study. An assessment of the overall severity of the speech disturbance was made for each participant face to face (FTF) and in the online environment, in addition, a 23-item version of the Frenchay Dysarthria Assessment (FDA) (which measures motor speech function) and the Assessment of Intelligibility of Dysarthric Speech (ASSIDS) (which gives the percentage word and sentence intelligibility, words per minute and a rating of communication efficiency) were administered in both environments. There was a 90% level of agreement between the two assessment environments for the rating of overall severity of dysarthria. A 70-100% level of agreement was achieved for 17 (74%) of the 23 FDA variables. On the ASSIDS there was a significant difference between the FTF and online assessments only for percentage word intelligibility. These findings suggest that Internet-based assessment has potential as a reliable method for assessing motor speech disorders.

Dialogue, speech and images:the companions project data set

This paper describes part of the corpus collection efforts underway in the EC funded Companions project. The Companions project is collecting substantial quantities of dialogue a large part of which focus on reminiscing about photographs. The texts are in English and Czech. We describe the context and objectives for which this dialogue corpus is being collected, the methodology being used and make observations on the resulting data. The corpora will be made available to the wider research community through the Companions Project web site.

Token codeswitching and language alternation in narrative discourse: a functional-pragmatic approach

This study is concerned with two phenomena of language alternation in biographic narrations in Yiddish and Low German, based on spoken language data recorded between 1988 and 1995. In both phenomena language alternation serves as an additional communicative tool which can be applied by bilingual speakers to enlarge their set of interactional devices in order to ensure a smoother or more pointed processing of communicative aims. The first phenomenon is a narrative strategy I call Token Cod-eswitching: In a bilingual narrative culminating in a line of reported speech, a single element of L2 indicates the original language of the reconstructed dialogue – a token for a quote. The second phenomenon has to do with directing procedures, carried out by the speaker and aimed at guiding the hearer's attention, which are frequently carried out in L2, supporting the hearer's attention at crucial points in the interaction. Both phenomena are analyzed following a model of narrative discourse as proposed in the framework of Functional Pragmatics. The model allows the adoption of an integral approach to previous findings in code-switching research.

Interhemispheric differences of spectral power in expressive language:a MEG study with clinical applications

In the last decade we have seen an exponential growth of functional imaging studies investigating multiple aspects of language processing. These studies have sparked an interest in applying some of the paradigms to various clinically relevant questions, such as the identification of the cortical regions mediating language function in surgical candidates for refractory epilepsy. Here we present data from a group of adult control participants in order to investigate the potential of using frequency specific spectral power changes in MEG activation patterns to establish lateralisation of language function using expressive language tasks. In addition, we report on a paediatric patient whose language function was assessed before and after a left hemisphere amygdalo-hippocampectomy. Our verb generation task produced left hemisphere decreases in beta-band power accompanied by right hemisphere increases in low beta-band power in the majority of the control group, a previously unreported phenomenon. This pattern of spectral power was also found in the patient's post-surgery data, though not her pre-surgery data. Comparison of pre and post-operative results also provided some evidence of reorganisation in language related cortex both inter- and intra-hemispherically following surgery. The differences were not limited to changes in localisation of language specific cortex but also changes in the spectral and temporal profile of frontal brain regions during verb generation. While further investigation is required to establish concordance with invasive measures, our data suggest that the methods described may serve as a reliable lateralisation marker for clinical assessment. Furthermore, our findings highlight the potential utility of MEG for the investigation of cortical language functioning in both healthy development and pathology.

The language of business interviewing:a study in cross-cultural communication

The study examines the concept of cultural determinism in relation to the business interview, analysing differences in language use between English, French and West German native speakers. The approach is multi- and inter-disciplinary combining linguistic and business research methodologies. An analytical model based on pragmatic and speech act theory is developed to analyse language use in telephone market research interviews. The model aims to evaluate behavioural differences between English, French and West German respondents in the interview situation. The empirical research is based on a telephone survey of industrial managers, conducted in the three countries in the national language of each country. The telephone interviews are transcribed and compared across languages to discover how managers from each country use different language functions to reply to questions and requests. These differences are assessed in terms of specific cultural parameters: politeness, self-assuredness and fullness of response. Empirical and descriptive studies of national character are compared with the survey results, providing the basis for an evaluation of the relationship between management culture and national culture on a contrastive and comparative cross-cultural basis. The project conclusions focus on the implications of the findings both for business interviewing and for language teaching.

A computational model of prosody for Yorùbá text-to-speech synthesis

This work examines prosody modelling for the Standard Yorùbá (SY) language in the context of computer text-to-speech synthesis applications. The thesis of this research is that it is possible to develop a practical prosody model by using appropriate computational tools and techniques which combines acoustic data with an encoding of the phonological and phonetic knowledge provided by experts. Our prosody model is conceptualised around a modular holistic framework. The framework is implemented using the Relational Tree (R-Tree) techniques (Ehrich and Foith, 1976). R-Tree is a sophisticated data structure that provides a multi-dimensional description of a waveform. A Skeletal Tree (S-Tree) is first generated using algorithms based on the tone phonological rules of SY. Subsequent steps update the S-Tree by computing the numerical values of the prosody dimensions. To implement the intonation dimension, fuzzy control rules where developed based on data from native speakers of Yorùbá. The Classification And Regression Tree (CART) and the Fuzzy Decision Tree (FDT) techniques were tested in modelling the duration dimension. The FDT was selected based on its better performance. An important feature of our R-Tree framework is its flexibility in that it facilitates the independent implementation of the different dimensions of prosody, i.e. duration and intonation, using different techniques and their subsequent integration. Our approach provides us with a flexible and extendible model that can also be used to implement, study and explain the theory behind aspects of the phenomena observed in speech prosody.

A modular holistic approach to prosody modelling for Standard Yorùbá speech synthesis

This paper presents a novel prosody model in the context of computer text-to-speech synthesis applications for tone languages. We have demonstrated its applicability using the Standard Yorùbá (SY) language. Our approach is motivated by the theory that abstract and realised forms of various prosody dimensions should be modelled within a modular and unified framework [Coleman, J.S., 1994. Polysyllabic words in the YorkTalk synthesis system. In: Keating, P.A. (Ed.), Phonological Structure and Forms: Papers in Laboratory Phonology III, Cambridge University Press, Cambridge, pp. 293–324]. We have implemented this framework using the Relational Tree (R-Tree) technique. R-Tree is a sophisticated data structure for representing a multi-dimensional waveform in the form of a tree. The underlying assumption of this research is that it is possible to develop a practical prosody model by using appropriate computational tools and techniques which combine acoustic data with an encoding of the phonological and phonetic knowledge provided by experts. To implement the intonation dimension, fuzzy logic based rules were developed using speech data from native speakers of Yorùbá. The Fuzzy Decision Tree (FDT) and the Classification and Regression Tree (CART) techniques were tested in modelling the duration dimension. For practical reasons, we have selected the FDT for implementing the duration dimension of our prosody model. To establish the effectiveness of our prosody model, we have also developed a Stem-ML prosody model for SY. We have performed both quantitative and qualitative evaluations on our implemented prosody models. The results suggest that, although the R-Tree model does not predict the numerical speech prosody data as accurately as the Stem-ML model, it produces synthetic speech prosody with better intelligibility and naturalness. The R-Tree model is particularly suitable for speech prosody modelling for languages with limited language resources and expertise, e.g. African languages. Furthermore, the R-Tree model is easy to implement, interpret and analyse.